Text & Content Analysis
This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Explore by Category
Corpus KPIs
Entity
a few hours
Articles
1
From
2026-06-13 05:30:00+00
To
2026-06-13 05:30:00+00
Range
2026-06-12 12:51:24.686146+00 →
2026-06-13 12:51:24.686146+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| a few hours | TIME | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alabama | GPE | 1 | 📊 🔍 🧲 |
| bloomberg | PERSON | 1 | 📊 🔍 🧲 |
| brexit | PERSON | 1 | 📊 🔍 🧲 |
| brexit labour | PERSON | 1 | 📊 🔍 🧲 |
| britain | GPE | 1 | 📊 🔍 🧲 |
| britons | GPE | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
| cambridge universitys | ORG | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| clayton | PERSON | 1 | 📊 🔍 🧲 |
| dan hanson | PERSON | 1 | 📊 🔍 🧲 |
| democrats | NORP | 1 | 📊 🔍 🧲 |
| eu | ORG | 1 | 📊 🔍 🧲 |
| europe | LOC | 1 | 📊 🔍 🧲 |
| european | NORP | 1 | 📊 🔍 🧲 |
| facebook x linkedin whatsapp pinterest | PERSON | 1 | 📊 🔍 🧲 |
| future | ORG | 1 | 📊 🔍 🧲 |
| good morning britain | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| good news newsletter | ORG | 1 | 📊 🔍 🧲 |
| google newsletter subscribe | ORG | 1 | 📊 🔍 🧲 |
| gop | ORG | 1 | 📊 🔍 🧲 |
| graham gudgin | PERSON | 1 | 📊 🔍 🧲 |
| graham platner | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-13 05:30:00+00 | Politics |
|
Brexit ten years on: a decade of national ‘Bregret’? | Analyze | https://theweek.com/author/the-week-uk | 😐 neutral | 0.1912 |